Field Programmable Gate Arrays (FPGAs) have notched some noticeable wins as a platform for machine learning, Microsoft’s embrace of the technology in Azure being the most notable example. But for this ...

Achronix’s Speedcore Gen 4 can be tailored for machine-learning applications as well as to deliver high-performance FPGA connectivity for embedded FPGAs. 1. Processor performance is starting to ...

One of the best indicators of the heterogeneous future of machine learning and the silicon that supports comes from Microsoft – a huge buyer of FPGAs, GPUs and pretty much everything else for deep ...

Our research found that FPGA performs very well in DNN research and can be applicable in research areas such as AI, big data or machine learning which requires analyzing large amounts of data. The ...

FPGAs play an important role in this commitment. Intel’s comprehensive, flexible, and performance-optimized AI portfolio of products for machine and deep learning covers the entire spectrum from ...

Achronix and Bittware are collaborating on a new FPGA accelerator designed for cloud, AI, and machine learning applications. Increased demand for artificial intelligence (AI) and machine learning (ML) ...

This university program will offer professors, researchers, and students access to a broad collection of pre-developed curricula, software tools, and programmable hardware to help accelerate the FPGA ...

These tasks include scientific simulations, data analytics, and machine learning. HPC plays a critical role in various industries, such as finance, healthcare, and oil and gas exploration. Industry ...

These hardware solutions, along with Altera's FPGA AI Suite, enable machine learning engineers, software developers, and FPGA designers to create custom FPGA AI platforms using industry-standard ...